{"id":13531999,"url":"https://github.com/JusperLee/Deep-Clustering-for-Speech-Separation","last_synced_at":"2025-04-01T20:31:08.523Z","repository":{"id":52995860,"uuid":"230398812","full_name":"JusperLee/Deep-Clustering-for-Speech-Separation","owner":"JusperLee","description":"Pytorch implements Deep Clustering: Discriminative Embeddings For Segmentation And Separation","archived":false,"fork":false,"pushed_at":"2020-07-14T14:16:19.000Z","size":97,"stargazers_count":124,"open_issues_count":12,"forks_count":25,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-11-02T19:33:45.275Z","etag":null,"topics":["deep-clustering","pytorch","segmentation","speech-separation"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/JusperLee.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-12-27T07:54:51.000Z","updated_at":"2024-10-22T06:12:35.000Z","dependencies_parsed_at":"2022-09-08T03:20:25.738Z","dependency_job_id":null,"html_url":"https://github.com/JusperLee/Deep-Clustering-for-Speech-Separation","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JusperLee%2FDeep-Clustering-for-Speech-Separation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JusperLee%2FDeep-Clustering-for-Speech-Separation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JusperLee%2FDeep-Clustering-for-Speech-Separation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JusperLee%2FDeep-Clustering-for-Speech-Separation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JusperLee","download_url":"https://codeload.github.com/JusperLee/Deep-Clustering-for-Speech-Separation/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246709923,"owners_count":20821297,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-clustering","pytorch","segmentation","speech-separation"],"created_at":"2024-08-01T07:01:07.526Z","updated_at":"2025-04-01T20:31:03.510Z","avatar_url":"https://github.com/JusperLee.png","language":"Python","funding_links":[],"categories":["Speech Separation (single channel)"],"sub_categories":["NN-based separation"],"readme":"## Deep Clustering for Speech Separation\nDeep clustering in the field of speech separation implemented by pytorch\n\nDemo Pages: [Results of pure speech separation model](https://www.likai.show/Pure-Audio/index.html)\n\n\u003e Hershey J R, Chen Z, Le Roux J, et al. Deep clustering: Discriminative embeddings for segmentation and separation[C]//2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016: 31-35.\n\n## Requirement\n\n- **Pytorch 1.3.0**\n- **librosa 0.7.1**\n- **PyYAML 5.1.2**\n\n\n## Code writing log\n**2019-12-27 Friday**. It is currently being refined and is not yet complete.\n\n**2020-01-02 Thursday**. The training code is currently complete and the code bug is being tested.\n\n## Training steps\n1. First, you can use the create_scp script to generate training and test data scp files.\n\n```shell\npython create_scp.py\n```\n\n2. Then, in order to reduce the mismatch of training and test environments. Therefore, you need to run the util script to generate a feature normalization file (CMVN).\n\n```shell\npython ./utils/util.py\n```\n\n3. Finally, use the following command to train the network.\n\n```shell\npython train.py -opt ./option/train.yml\n```\n\n## Inference steps\n1. Use the following command to start testing the model\n\n```shell\npython test.py -scp 1.scp -opt ./option/train.yml -save_file ./result\n```\n2. You can use the [this code](https://github.com/JusperLee/Calculate-SNR-SDR \"this code\") to calculate the SNR scores.\n\n\n## Thanks\n\n1. [Pytorch Template](https://github.com/victoresque/pytorch-template \"Pytorch Template\")\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FJusperLee%2FDeep-Clustering-for-Speech-Separation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FJusperLee%2FDeep-Clustering-for-Speech-Separation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FJusperLee%2FDeep-Clustering-for-Speech-Separation/lists"}